Samuel Johnson

39 papers receiving 810 citations

Peers

Samuel Johnson
Comparison fields: 5 of 143
  • General Psychology 24
  • Statistical and Nonlinear Physics 199
  • Communication 88
  • Social Psychology 162
  • Cognitive Neuroscience 89
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José Luís Spain
Yair Neuman Israel
Thomas J. H. Morgan United States
Reinders Duit Germany
Michael R. Matthews Australia
Alondra Nelson United States
Placeholder Author
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Citations per year

Countries citing papers authored by Samuel Johnson

Since Specialization
Citations

This map shows the geographic impact of Samuel Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Johnson more than expected).

Fields of papers citing papers by Samuel Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Johnson. The network helps show where Samuel Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Johnson Line = papers co-authored together Samuel Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 1983110
3 201098
4 199164
5 201163
6
The letters of Samuel Johnson
197742
7 202040
8 202439
9 198734
10 201434
11 199032
12 201731
13 201125
14 201322
15 202014
16 202114
17 201013
18 202311
19 201511
20
Challenges and Future Directions of Laser Fuse Processing in Memory Repair
200311

About Samuel Johnson

Samuel Johnson is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Cognitive Neuroscience, Molecular Biology and Language and Linguistics, having authored 50 papers that have together received 896 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (9 papers), Neural dynamics and brain function (6 papers), Evolutionary Game Theory and Cooperation (5 papers), COVID-19 epidemiological studies (3 papers), Counseling Practices and Supervision (3 papers), Neural Networks and Applications (3 papers) and Lexicography and Language Studies (3 papers). The work is most often cited by research in General Psychology (24 citations), Statistical and Nonlinear Physics (199 citations), Communication (88 citations), Social Psychology (162 citations) and Cognitive Neuroscience (89 citations). Samuel Johnson has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Miguel A. Muñoz, Joaquı́n J. Torres, Joaquín Marro, Mary McRae, Luca Donetti, Virginia Domínguez‐García, Nick S. Jones, Andrew P. Bailey, Timothy Grocott and Andrea Streit. Their work appears in journals such as Royal Society Open Science, Proceedings of the National Academy of Sciences, PLoS ONE, Journal of Multicultural Counseling and Development and Internet Mathematics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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